• FUZZY MATRIX FOR DENGUE VIRUS DISEASE IN HUMAN BODY

Dr. T. GEETHA, A. USHA*

Abstract


Dengue is a life threatening disease prevalent in several developed as well as developing countries like India. This is a virus born disease caused by breeding of Aedes mosquito. Datasets that are available for dengue describe information about the patients suffering with dengue disease and without dengue disease along with their symptoms like: Fever Temperature, WBC, Platelets, Severe Headache, Vomiting, Metallic Taste, Joint Pain, Appetite, Diarrhea, Hematocrit, Hemoglobin, and how many days suffer in different city.  In this paper we discuss various algorithm approaches of Atanassov’s intuitionistic fuzzy matrices that have been utilized for dengue disease prediction. The main objective of this paper is to classify data and assist the users in extracting useful information from data and easily identify a suitable algorithm for accurate predictive model from it. Further, we extended our approach in the sector of addition and multiplication factors of Atanassov’s intuitionistic fuzzy matrices based on membership and non-membership function. Finally, we presented a decision making problem based on one of the operation of Atanassov’s intuitionistic fuzzy matrices.


Keywords


fuzzy matrix, Atanassov’s intuitionistic fuzzy matrix (AIFM), Atanassov’s intuitionistic fuzzy matrix intersection, medical knowledge.

Full Text:

PDF


Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
© 2010-2018 International Journal of Mathematical Archive (IJMA)
Copyright Agreement & Authorship Responsibility
Web Counter